Rule-based pre-reordering has a long tradition in Machine Translation (see Bisazza2016 for a survey), where word order directly affects the quality of the final result. Reordering rules can be determined manually [1]}, [2]} or with data-driven approaches that either learn POS-tag based [3]}, [4]} or tree-based [5]}, [6]} reordering rules. The advantage of POS-tag based rules is that they are simple to implement and do not require full parsing of the target-language sentences.
